Automatic Speaker Recognition Over Military Communication Systems. A Feasibility Evaluation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Automatic Speaker Recognition Over Military Communication Systems. A Feasibility Evaluation PDF full book. Access full book title Automatic Speaker Recognition Over Military Communication Systems. A Feasibility Evaluation by S. S. Everett. Download full books in PDF and EPUB format.
Author: S. S. Everett Publisher: ISBN: Category : Languages : en Pages : 15
Book Description
Automatic speaker recognition (ASR) offers potential benefit for numerous Navy situations, including indentification of users of communication channels such as the telephone and channels using processed or vocoded speech. Currently the user must subjectively determine whether the person on the other end of the line is who he or she claims to be. However, past research has shown that ASR systems are capable of higher recognition accuracy than human listeners under certain circumstances. This report discusses a series of tests conducted to evaluate the feasibility of performing ASR using vocoded speech. The analog outputs of six different Department of Defense voice processors were used as input to a real-time ASR system. Data transmission rates of these processors ranged from 2400 to 64,000 bits per second. Recognition accuracy results for the processed speech were 70 to 95% using a 2500 Hz bandwidth input filter, and 75 to 95% using a 4000 Hz input filter. These results indicate that ASR using vocoded speech is definitely possible, though further research is needed to determine which speech parameters are best suited for use with each voice processor.
Author: S. S. Everett Publisher: ISBN: Category : Languages : en Pages : 15
Book Description
Automatic speaker recognition (ASR) offers potential benefit for numerous Navy situations, including indentification of users of communication channels such as the telephone and channels using processed or vocoded speech. Currently the user must subjectively determine whether the person on the other end of the line is who he or she claims to be. However, past research has shown that ASR systems are capable of higher recognition accuracy than human listeners under certain circumstances. This report discusses a series of tests conducted to evaluate the feasibility of performing ASR using vocoded speech. The analog outputs of six different Department of Defense voice processors were used as input to a real-time ASR system. Data transmission rates of these processors ranged from 2400 to 64,000 bits per second. Recognition accuracy results for the processed speech were 70 to 95% using a 2500 Hz bandwidth input filter, and 75 to 95% using a 4000 Hz input filter. These results indicate that ASR using vocoded speech is definitely possible, though further research is needed to determine which speech parameters are best suited for use with each voice processor.
Author: Laura Fernández Gallardo Publisher: Springer ISBN: 9812877274 Category : Technology & Engineering Languages : en Pages : 178
Book Description
This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband.
Author: S. S. Everett Publisher: ISBN: Category : Languages : en Pages : 29
Book Description
Automatic speaker recognition (ASR) systems, capable of identifying a person based on voice input alone, have a wide range of potential applications in Navy environments. They could provide access control to restricted areas, equipment and information. They could verify the identity of users of various communication channels, or verify computer users through terminals accepting voice input. This report presents the results of a survey conducted to determine which type of application offers the best potential use of ASR for the Navy. The survey results also give a rough indication of the operational requirements of ASR systems in Naval environments. In designing an ASR system for a particular application there are a number of factors regarding the user and the environment that must be taken into consideration. These factors, and their impact on the operational requirements, are discussed in detail. The appendix of this report outlines the various approaches to ASR and the major ASR systems described in the literature. (Author).
Author: Chin-Hui Lee Publisher: Springer Science & Business Media ISBN: 1461313678 Category : Technology & Engineering Languages : en Pages : 524
Book Description
Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.
Author: Kai-Fu Lee Publisher: Springer Science & Business Media ISBN: 1461536502 Category : Technology & Engineering Languages : en Pages : 216
Book Description
Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. As one goes from problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poor to knowledge rich; low data rates to high data rates; slow response time (minutes to hours) to instantaneous response time. These characteristics taken together increase the computational complexity of the problem by several orders of magnitude. Further, speech provides a challenging task domain which embodies many of the requirements of intelligent behavior: operate in real time; exploit vast amounts of knowledge, tolerate errorful, unexpected unknown input; use symbols and abstractions; communicate in natural language and learn from the environment. Voice input to computers offers a number of advantages. It provides a natural, fast, hands free, eyes free, location free input medium. However, there are many as yet unsolved problems that prevent routine use of speech as an input device by non-experts. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech. Satisfactory solutions to each of these problems can be expected within the next decade. Recognition of unrestricted spontaneous continuous speech appears unsolvable at present. However, by the addition of simple constraints, such as clarification dialog to resolve ambiguity, we believe it will be possible to develop systems capable of accepting very large vocabulary continuous speechdictation.
Author: Jean-Claude Junqua Publisher: Springer Science & Business Media ISBN: 1461312973 Category : Technology & Engineering Languages : en Pages : 457
Book Description
Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.
Author: Joseph Keshet Publisher: John Wiley & Sons ISBN: 9780470742037 Category : Technology & Engineering Languages : en Pages : 268
Book Description
This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.
Author: N. Rex Dixon Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: Category : Technology & Engineering Languages : en Pages : 448
Author: S. S. Everett
Author: S. S. Everett
Author: Laura Fernández Gallardo
Author: S. S. Everett
Author: Chin-Hui Lee
Author: 
Author: Kai-Fu Lee
Author: Jean-Claude Junqua
Author: Joseph Keshet
Author: Frederick E. White
Author: N. Rex Dixon